Computer Scientist
IntelliswiftSan Jose, CA, United States3 days ago
Job type
- Full-time
Job descriptionDesign & Develop : Build a scalable backend automation framework that can translate conversational instructions into actionable tasks and orchestrate them using microservices, external APIs, scrapers, and RPA / VMs. LLM Integration : Work closely with conversational AI and LLMs (e.g., GPT-like models) to parse user intent, extract tasks, and dynamically plan automation flows. Modular Extensibility : Architect the framework to accommodate new services, APIs, or integrations without major refactoring - ensuring reusability and maintainability. Performance Optimization : Ensure ultra-low latency and high availability of LLM-driven services in production, optimizing inference pipelines and agent operations. API & RPA Coordination : Integrate diverse APIs (social platforms, calendars, CRMs, etc.), and manage web-based tasks via RPA or VM-based strategies to replicate human browser actions where no direct API is available. Security & Compliance : Implement best practices around data security, governance, and compliance, ensuring sensitive user data and credentials are properly managed and protected. Collaboration : Partner with frontend, DevOps, data scientists, and product teams to shape technical architecture, define roadmaps, and ensure smooth cross-functional delivery. Monitoring & Analytics : Develop monitoring and logging solutions that give visibility into automation flows, success / failure rates, and system performance metrics. Bachelors Degree or higher in Computer Science or related fields. Agentic Framework Mastery : Proven track record with agent-based frameworks (e.g., LangChain or similar) to dynamically plan and orchestrate multi-step workflows. LLM Production Experience : Extensive experience deploying and operating LLM models in production environments, ensuring low-latency inference and scalable infrastructure (e.g., GPU / CPU optimization, container orchestration, etc.). Backend Engineering Excellence : 5+ years of software development experience building high-performance backend systems in languages like Python, Go, Java, or Node.js. API Design & Integration : Deep familiarity with REST, GraphQL, or gRPC, plus hands-on work integrating complex external APIs (including social media platforms and scheduling services). RPA / Virtual Browsers : Proficiency with RPA tools, virtual machines, headless browsers, or similar methods for web automation when APIs are limited or unavailable. Scraping & Data Processing : Solid experience with web scraping libraries or frameworks, ensuring robust handling of dynamic or JS-driven sites. Microservices & Cloud : Experience designing and deploying microservices in a modern cloud environment (AWS, Azure, or GCP), including containerization (Docker / Kubernetes) and CI / CD pipelines. Systems Architecture : Ability to architect large-scale, distributed systems with a focus on modular, extensible designs. Agile Mindset : Comfortable working in a fast-paced, iterative environment, adapting to evolving priorities and technologies.
Job Title : Computer Scientist
Location : San Jose, CA (This is a Hybrid role. Highly preferred San Jose office location. Also open to San Francisco)
Duration : 1 month.
Contract Type : W2 only
Pay Rate : $105.62 / Hour
Job Description
About the Role :
We're looking for an experienced Backend Engineer to join our Client as a Computer Scientist (Level 3 / 4) and spearhead the development of a next-generation agentic automation framework . This framework will ingest a conversation (via NLP / LLMs) where strategies and tactics are agreed upon, and autonomously translate those agreements into automated workflows. For example, if the conversation concludes that a user needs to schedule a weekly video recording session and subsequently post the videos on Instagram, our framework should :
- Recognize the need to schedule a weekly time slot.
- Send a calendar invite to the user.
- Facilitate video recording.
- Connect to Instagram's API or web interface.
- Schedule the posts.
- Monitor analytics to measure performance.
All of these steps must be orchestrated seamlessly through APIs, virtual browser sessions (RPA), and external service integrations. The right candidate will bring an in-depth understanding of agent-based architectures, advanced knowledge of LLM deployments, and the ability to build a robust, modular, and extensible automation framework from the ground up.
Key Responsibilities
Required Qualifications
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Computer Scientist • San Jose, CA, United States
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